The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study exa...The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study examines the functional principles of new housing design as an instrument for transforming the (current) failing economy into a strong and resilient one. Accordingly, a literature review of the practice of designing and building housing in human settlements in the Congo revealed the state of the art on this subject. An analysis of the existing housing stock from a demographic, social and economic point of view made it possible to identify the most common household sizes and numbers, as well as the lifestyle processes that determine the need for developed space. To this end, the experimental method was used to propose configuration plans for various new types of dwelling. To this end, the study highlighted the link between people’s standard of living and the effectiveness of their involvement in the local economy. To achieve the aims of the National Development Plan (NDP), particular attention must be paid to solving the housing problem. The existing housing stock actively contributes to the problems associated with unemployment and insecurity. Functional principles for the design of new types of housing have been developed. Four model types are proposed in line with the demographic structure of the population, their socio-economic characteristics and their lifestyle.展开更多
Agglomeration economies are the important factors for the regional development. However, the common indicators to measure them, such as Gini Coefficients neglect the spatial ingredient of data, leading to a-spatial es...Agglomeration economies are the important factors for the regional development. However, the common indicators to measure them, such as Gini Coefficients neglect the spatial ingredient of data, leading to a-spatial estimates. In order to assess spatial neighbor effects of agglomeration economies, this study makes the new attempts by applying a series of techniques of spatial autocorrelation analysis, specifically, measuring the economies of urbanization and localization at the county level in the secondary and tertiary industries of Jiangsu Province in 1999 and 2002. The conclusions in this study reveal that on the whole, the localization effects on the economies of the secondary industry might be stronger than urbanization effects for that period, and highly agglomerative economies were limited within the southern Jiangsu and parts of middle along the Changjiang (Yangtze) River. Moreover, the tertiary industry has been strong urbanization rather than localization economies in the whole Jiangsu. Unlike the secondary industry, the tertiary industry held the high levels of agglomeration economies can be also found in the poor northern Jiangsu, and then the spatial clusters of trade and services might be basically seen in each of urban districts in 13 cities. All in all, spatial autocorrelation analysis is a better method to test agglomeration economies.展开更多
Employing the statistics of 750, 000 firms obtained from China ＇s Third National Industrial Census, this paper estimates the production functions of 112 3-digit industries in four categories to examine the patterns o...Employing the statistics of 750, 000 firms obtained from China ＇s Third National Industrial Census, this paper estimates the production functions of 112 3-digit industries in four categories to examine the patterns of agglomeration economies, optimal scale of agglomeration, and the endogeneity of agglomeration level in manufacturing industries. Results indicate the existence of localization economies at city level and urbanization economies at province level, while the latter has very small economic significance. Decreasing returns to scale at firm level suggest that the source of agglomeration economies is technological externality emphasized by urban economic theory. With a rising scale, agglomeration economies exhibit an inverted U-shaped curve. Each industry has an optimal scale of agglomeration where the agglomeration economy is maximized. However, the actual scale of agglomeration is generally far lower than the optimal level. Corresponding to the optimal scale of agglomeration, the level of industrial agglomeration measured by the index is endogenous.展开更多
文摘The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study examines the functional principles of new housing design as an instrument for transforming the (current) failing economy into a strong and resilient one. Accordingly, a literature review of the practice of designing and building housing in human settlements in the Congo revealed the state of the art on this subject. An analysis of the existing housing stock from a demographic, social and economic point of view made it possible to identify the most common household sizes and numbers, as well as the lifestyle processes that determine the need for developed space. To this end, the experimental method was used to propose configuration plans for various new types of dwelling. To this end, the study highlighted the link between people’s standard of living and the effectiveness of their involvement in the local economy. To achieve the aims of the National Development Plan (NDP), particular attention must be paid to solving the housing problem. The existing housing stock actively contributes to the problems associated with unemployment and insecurity. Functional principles for the design of new types of housing have been developed. Four model types are proposed in line with the demographic structure of the population, their socio-economic characteristics and their lifestyle.
基金Under the auspicesoftheNationalNatural Science FoundationofChina(No.40271040)
文摘Agglomeration economies are the important factors for the regional development. However, the common indicators to measure them, such as Gini Coefficients neglect the spatial ingredient of data, leading to a-spatial estimates. In order to assess spatial neighbor effects of agglomeration economies, this study makes the new attempts by applying a series of techniques of spatial autocorrelation analysis, specifically, measuring the economies of urbanization and localization at the county level in the secondary and tertiary industries of Jiangsu Province in 1999 and 2002. The conclusions in this study reveal that on the whole, the localization effects on the economies of the secondary industry might be stronger than urbanization effects for that period, and highly agglomerative economies were limited within the southern Jiangsu and parts of middle along the Changjiang (Yangtze) River. Moreover, the tertiary industry has been strong urbanization rather than localization economies in the whole Jiangsu. Unlike the secondary industry, the tertiary industry held the high levels of agglomeration economies can be also found in the poor northern Jiangsu, and then the spatial clusters of trade and services might be basically seen in each of urban districts in 13 cities. All in all, spatial autocorrelation analysis is a better method to test agglomeration economies.
文摘Employing the statistics of 750, 000 firms obtained from China ＇s Third National Industrial Census, this paper estimates the production functions of 112 3-digit industries in four categories to examine the patterns of agglomeration economies, optimal scale of agglomeration, and the endogeneity of agglomeration level in manufacturing industries. Results indicate the existence of localization economies at city level and urbanization economies at province level, while the latter has very small economic significance. Decreasing returns to scale at firm level suggest that the source of agglomeration economies is technological externality emphasized by urban economic theory. With a rising scale, agglomeration economies exhibit an inverted U-shaped curve. Each industry has an optimal scale of agglomeration where the agglomeration economy is maximized. However, the actual scale of agglomeration is generally far lower than the optimal level. Corresponding to the optimal scale of agglomeration, the level of industrial agglomeration measured by the index is endogenous.
